






import os
import time

import numpy as np
import onnxruntime as ort


snake_case__   :						Tuple													=   """1"""
snake_case__   :						Optional[int]													=   """0"""
snake_case__   :						Any													=   """1"""

snake_case__   :						List[str]													=   ort.SessionOptions()
snake_case__   :						List[str]													=   ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("""Create inference session...""")
snake_case__   :						List[Any]													=   ["""TensorrtExecutionProvider""", """CUDAExecutionProvider"""]
snake_case__   :						str													=   ort.InferenceSession("""model.onnx""", sess_options=sess_opt, providers=execution_provider)
snake_case__   :						List[str]													=   ort.RunOptions()

snake_case__   :						Optional[int]													=   1_2_8
snake_case__   :						Optional[int]													=   1
snake_case__   :						Union[str, Any]													=   np.ones((batch, sequence), dtype=np.intaa)
snake_case__   :						int													=   np.ones((batch, sequence), dtype=np.intaa)
snake_case__   :						Tuple													=   np.ones((batch, sequence), dtype=np.intaa)

print("""Warm up phase...""")
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print("""Start inference...""")
snake_case__   :						str													=   time.time()
snake_case__   :						Tuple													=   2_0_0_0
snake_case__   :						Dict													=   {}
for iter in range(max_iters):
 snake_case__   :						Tuple													=   sess.run(
     None,
     {
         sess.get_inputs()[0].name: input_ids,
         sess.get_inputs()[1].name: attention_mask,
         sess.get_inputs()[2].name: token_type_ids,
     },
     run_options=run_opt,
 )
print("""Average Inference Time = {:.3f} ms""".format((time.time() - start_time) * 1_0_0_0 / max_iters))










'''simple docstring'''



from collections import defaultdict
def        UpperCAmelCase (    A	:					int					):
							SCREAMING_SNAKE_CASE       :   List[Any]         =      1
							SCREAMING_SNAKE_CASE       :   Dict         =      True
							for v in tree[start]:
														if v not in visited:
																					ret += dfs(A					)
							if ret % 2 == 0:
														cuts.append(A					)
							return ret
def        UpperCAmelCase (    ):
							dfs(1					)


if __name__ == "__main__":
							lowerCAmelCase_      ,				lowerCAmelCase_  :							Dict             =    10, 9
							lowerCAmelCase_  :							Dict             =    defaultdict(list)
							lowerCAmelCase_  :							dict[int, bool]             =    {}
							lowerCAmelCase_  :							list[int]             =    []
							lowerCAmelCase_  :							Optional[Any]             =    0
							lowerCAmelCase_  :							Dict             =    [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
							for u, v in edges:
														tree[u].append(v)
														tree[v].append(u)
							even_tree()
							print(len(cuts) - 1)




